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  • Learning How To Learn

Results for "learning how to learn"


  • Status: Preview
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    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Business English: Networking

    Skills you'll gain: Business Writing, Business Correspondence, Professional Networking, English Language, Oral Expression, Business Communication, Rapport Building, Telephone Skills, Language Competency, Presentations, Relationship Building, Verbal Communication Skills, Grammar, Vocabulary, Communication, Scheduling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Applied Machine Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Data Preprocessing, Machine Learning, Predictive Modeling, Java, Program Evaluation, Supervised Learning, Feature Engineering, Fraud detection, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    720 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master AI Tools & Robotics: Analyze, Automate, Innovate

    Skills you'll gain: Robotic Process Automation, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Peking University

    计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation

    Skills you'll gain: Quality Assurance, Language Interpretation, Translation, and Studies, Natural Language Processing, Document Management, Information Technology, Multilingualism, Vocabulary, Database Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    83 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    Learning Chinese : Start From Scratch (零到一學中文)

    Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension

    4.5
    Rating, 4.5 out of 5 stars
    ·
    553 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Shanghai Jiao Tong University

    Learn Mandarin Chinese: Capstone Project

    Skills you'll gain: Oral Comprehension, Language Competency, Language Learning, Vocabulary

    4.7
    Rating, 4.7 out of 5 stars
    ·
    280 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular learning how to learn courses

  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Business English: Networking: University of Washington
  • Build Robust Java ML Models with Entropy: Coursera
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Intro to Federated Learning: DeepLearning.AI
  • Master AI Tools & Robotics: Analyze, Automate, Innovate: EDUCBA
  • 计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation: Peking University
  • Mathematics for Machine Learning: PCA: Imperial College London

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